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Machine Learning for a better World

Mindlab UNAL research group has been a center of excellence for Machine Learning research, teaching, theory, and practice since its founding in 2001. The research in our group is very broad, and we are interested in all aspects of machine learning. Particular strengths of the group are in multimodal learning and fusion, large scale machine learning and approachs that combine probabilistic models and deep learning.

Hybrid Deep Kernel Methods

Obtain effective and efficient kernel methods that compete on par with deep learning

Methods for learning a mapping between the features of the input sample and the labels, which is later used to predict labels for unannotated instances

“AI winters were not due to imagination traps, but due to lack of imaginations. Imaginations bring order out of chaos. Deep learning with deep imagination is the road map to AI springs and AI autumns.” – Amit Ray